<?xml version="1.0" encoding="UTF-8"?>
<!-- generator="wordpress.com" -->
<urlset xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://www.sitemaps.org/schemas/sitemap/0.9 http://www.sitemaps.org/schemas/sitemap/0.9/sitemap.xsd"
	xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
	xmlns:news="http://www.google.com/schemas/sitemap-news/0.9"
	xmlns:image="http://www.google.com/schemas/sitemap-image/1.1"
	>
<url><loc>https://daily-llm.com/2026/10/02/%ec%98%a4%eb%8a%98%ec%9d%98-%ed%85%8c%ed%81%ac-%eb%b8%8c%eb%a6%ac%ed%95%91-54%ea%b0%9c-%eb%b8%94%eb%a1%9c%ea%b7%b8-%ec%8a%a4%ec%ba%94-%ea%b2%b0%ea%b3%bc-10-2-2/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T07:33:18+00:00</news:publication_date><news:title>오늘의 테크 브리핑 — 54개 블로그 스캔 결과 (10/2)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/%ec%98%a4%eb%8a%98%ec%9d%98-%ed%85%8c%ed%81%ac-%eb%b8%8c%eb%a6%ac%ed%95%91-54%ea%b0%9c-%eb%b8%94%eb%a1%9c%ea%b7%b8-%ec%8a%a4%ec%ba%94-%ea%b2%b0%ea%b3%bc-10-2/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T07:33:07+00:00</news:publication_date><news:title>오늘의 테크 브리핑 — 54개 블로그 스캔 결과 (10/2)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/stock-radar-261002/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T05:30:16+00:00</news:publication_date><news:title>메모리·AI 주식 뉴스 10월 2일 — 마이크론 반도체 수출  훈풍에 7천피 턱밑 코스닥 4</news:title><news:keywords>삼성전자, SK하이닉스, HBM, 반도체주, 엔비디아</news:keywords></news:news></url><url><loc>https://daily-llm.com/2026/10/02/sw-2610-den-92-percent/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T04:12:08+00:00</news:publication_date><news:title>주당 10시간과 18배의 연구원 — SMB 자동화 숫자와 연구수익률 에세이가 같은 말을 했다 (10월 2일 AI 소프트웨어)</news:title><news:keywords>OpenAI, ChatGPT, AI에이전트, 합성데이터, 생산성</news:keywords></news:news></url><url><loc>https://daily-llm.com/2026/10/02/hw-2610-astra-ultrafast-8x/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T04:11:58+00:00</news:publication_date><news:title>GPT-6 Astra Ultrafast 8배 — 에이전트 루프에서 다시 계산한 Blackwell 발표 (10월 2일 하드웨어)</news:title><news:keywords>OpenAI, GPT-6, Blackwell, NVIDIA, 추론가속</news:keywords></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5090-32gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:08:17+00:00</news:publication_date><news:title>RTX 5090 32GB 로컬 LLM — 32GB·1792GB/s 괴물 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5080-16gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:08:13+00:00</news:publication_date><news:title>RTX 5080 16GB 로컬 LLM — 960GB/s로 날아가는데 통은 여전히 16GB (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5070-ti-16gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:08:08+00:00</news:publication_date><news:title>RTX 5070 Ti 16GB 로컬 LLM — 16GB 구간 균형점 최적 후보 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5070-12gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:08:03+00:00</news:publication_date><news:title>RTX 5070 12GB 로컬 LLM — 4070 Ti Super급 대역폭에 12GB — 신형이 구형의 &#8216;용량 실수&#8217;를 그대 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5060-ti-16gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:59+00:00</news:publication_date><news:title>RTX 5060 Ti 16GB 로컬 LLM — 이 블로그 최다 조회 글의 주인공 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5060-ti-8gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:54+00:00</news:publication_date><news:title>RTX 5060 Ti 8GB 로컬 LLM — 같은 카드의 16GB 버전과 가격 차이는 얼마인가 — 그리고 그 차이가 LLM에서는 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5060-8gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:49+00:00</news:publication_date><news:title>RTX 5060 8GB 로컬 LLM — GDDR7로 대역폭은 3060 Ti의 2배.. (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-5050-8gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:44+00:00</news:publication_date><news:title>RTX 5050 8GB 로컬 LLM — 2026년 엔트리 티켓의 현실: GDDR7을 달았는데도 8GB (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4090-24gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:39+00:00</news:publication_date><news:title>RTX 4090 24GB 로컬 LLM — 단일 GPU 정점 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4080-super/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:35+00:00</news:publication_date><news:title>RTX 4080 Super 로컬 LLM — gentle facelift (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4080/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:30+00:00</news:publication_date><news:title>RTX 4080 로컬 LLM — 16GB·717GB/s — 플래그십의 조건 중 속도 조건만 채운 카드 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4070-ti-super/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:26+00:00</news:publication_date><news:title>RTX 4070 Ti Super 로컬 LLM — &#8217;16GB 시대의 출발점&#8217; — Super 파생형이 4GB를 늘리면서 처음으로 24B (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4070-ti/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:21+00:00</news:publication_date><news:title>RTX 4070 Ti 로컬 LLM — 616GB/s의 빠른 발, 12GB의 작은 통 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4070-super/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:16+00:00</news:publication_date><news:title>RTX 4070 Super 로컬 LLM — 속도는 올리고 가격은 내렸는데 용량은 그대로 12GB (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4070/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:12+00:00</news:publication_date><news:title>RTX 4070 로컬 LLM — 무난한 12GB·504GB/s (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4060-ti-16gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:07+00:00</news:publication_date><news:title>RTX 4060 Ti 16GB 로컬 LLM — 40시리즈의 조용한 가성비 히트 — 16GB를 최저가로 파는 카드 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4060-ti-8gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:07:02+00:00</news:publication_date><news:title>RTX 4060 Ti 8GB 로컬 LLM — 40시리즈인데 8GB (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-4060/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:58+00:00</news:publication_date><news:title>RTX 4060 로컬 LLM — 출시 때 대역폭 다운그레이드 논란의 중심 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3090-ti/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:53+00:00</news:publication_date><news:title>RTX 3090 Ti 로컬 LLM — 30시리즈 마지막 대역폭 플래그십 — 1008GB/s는 4090과 동일 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3090-24gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:48+00:00</news:publication_date><news:title>RTX 3090 24GB 로컬 LLM — 중고 로컬 LLM 가성비 왕좌 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3080-ti/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:43+00:00</news:publication_date><news:title>RTX 3080 Ti 로컬 LLM — 3090의 95%인데 용량만 4GB 적습니다 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3080-12gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:39+00:00</news:publication_date><news:title>RTX 3080 12GB 로컬 LLM — 30시리즈 막판에 조용히 나온 &#8216;숨은 가성비&#8217; (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3080-10gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:34+00:00</news:publication_date><news:title>RTX 3080 10GB 로컬 LLM — 760GB/s — 4070급 대역폭이 10GB에 갇혔습니다 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3070-ti/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:29+00:00</news:publication_date><news:title>RTX 3070 Ti 로컬 LLM — GDDR6X로 대역폭을 끌어올리고 전기세를 290W로 올렸는데 용량은 여전히 8GB (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3070/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:24+00:00</news:publication_date><news:title>RTX 3070 로컬 LLM — 448GB/s가 8GB에 갇힌 전형 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3060-ti/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:20+00:00</news:publication_date><news:title>RTX 3060 Ti 로컬 LLM — 대역폭은 3070급, 용량은 8GB (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3060-8gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:15+00:00</news:publication_date><news:title>RTX 3060 8GB 로컬 LLM — 같은 칩에 용량만 반으로 깎고 메모리 버스까지 좁힌 모델 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3060-12gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:10+00:00</news:publication_date><news:title>RTX 3060 12GB 로컬 LLM — 한국 실거래 기준 국내에서 가장 싼 &#8216;실전 LLM 카드&#8217; (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/gpu-rtx-3050-8gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T02:06:05+00:00</news:publication_date><news:title>RTX 3050 8GB 로컬 LLM — 2026년 로컬 LLM &#8216;최소 사양&#8217;을 가늠하는 카드 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/spec-compare-2610-5090-vs-4090/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T01:04:22+00:00</news:publication_date><news:title>RTX 5090 vs 4090: 딥러닝 실측 비교 (2026년 10월판)</news:title><news:keywords>VRAM, 딥러닝 GPU, RTX 4090, RTX 5090</news:keywords></news:news></url><url><loc>https://daily-llm.com/2026/10/02/e3e2a8b6e7eed6e042119054c3c2fd1e-7/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-02T00:00:00+00:00</news:publication_date><news:title>indexnow key</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/%ec%98%a4%eb%8a%98%ec%9d%98-%ed%85%8c%ed%81%ac-%eb%b8%8c%eb%a6%ac%ed%95%91-54%ea%b0%9c-%eb%b8%94%eb%a1%9c%ea%b7%b8-%ec%8a%a4%ec%ba%94-%ea%b2%b0%ea%b3%bc-10-1/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T23:05:53+00:00</news:publication_date><news:title>오늘의 테크 브리핑 — 54개 블로그 스캔 결과 (10/1)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/price-roundup-2610-gpu-11/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>2026년 10월 GPU 시세 — 11종 최저가·GB당 환산 총정리 (2026-10-01 기준)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1612-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/local-12gb-playbook-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>12GB로 도는 로컬 LLM 전부 — RTX 5070·3060 실전 모델표</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1613-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/local-llm-electricity-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>로컬 LLM 24시간 돌리면 전기세 얼마? — 카드별 월 계산표</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1614-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/local-16gb-picks-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 16GB 로컬 LLM 추천 — 5060 Ti·5070 Ti·RX 9070 XT 기준 TOP 8</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1615-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/laptop-llm-verdict-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>로컬 LLM용 노트북, 2026년 10월엔 이것만 — VRAM·TGP 체크리스트</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1616-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/local-llm-starter-checklist-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>로컬 LLM 첫 설치 — 30분 완주 체크리스트 (2026년 10월판)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1617-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/used-gpu-3090-4090-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>중고 3090·4090 지금 사도 되나 — GB당 가격으로 재계산 (10월 시세)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1618-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/ollama-llamacpp-mlx-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>Ollama vs llama.cpp vs MLX — M5 Max 실측 기반 선택 가이드</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1619-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/vram-gb-price-rank-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 1GB 가격 순위 10월판 — 5만원부터 19만원까지</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1620-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/oct-model-watch-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>10월에 로컬로 올 모델 — 발표 예정·갓 출시 모델 실측 대응표</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1621-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/card-8gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 8GB 그래픽카드에서 도는 로컬 LLM 전부 — 2026년 10월 실측 적합표</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-12gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 12GB 그래픽카드에서 도는 로컬 LLM 전부 — 2026년 10월 실측 적합표</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-16gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 16GB 그래픽카드에서 도는 로컬 LLM 전부 — 2026년 10월 실측 적합표</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-24gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 24GB 그래픽카드에서 도는 로컬 LLM 전부 — 2026년 10월 실측 적합표</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-32gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>VRAM 32GB 그래픽카드에서 도는 로컬 LLM 전부 — 2026년 10월 실측 적합표</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-mac-64gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>Mac 통합메모리 64GB에서 도는 로컬 LLM 전부 — 2026년 10월 MLX 실측</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-mac-128gb-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>Mac 통합메모리 128GB에서 도는 로컬 LLM 전부 — 2026년 10월 MLX 전수 실측</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/card-hub-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T18:00:00+00:00</news:publication_date><news:title>내 카드에 뭐 돌아가나 — VRAM 용량별 로컬 LLM 적합표 총정리 (2026년 10월)</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/02/sw-2610-olmo-moe-bench/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:25:13+00:00</news:publication_date><news:title>10월 1일 AI 소프트웨어 브리핑 — 토큰당 52,000개: 오픈 MoE 훈련 스택이 바꿀 계산</news:title><news:keywords>AI모델, LLM, 오픈소스, 훈련인프라</news:keywords></news:news></url><url><loc>https://daily-llm.com/2026/10/02/hw-2610-watercool-3-walls/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:25:06+00:00</news:publication_date><news:title>10월 1일 하드웨어 브리핑 — 수랭 없인 다음 세대 GPU가 못 들어옵니다: 하중·전력·전압 3개 벽의 계산</news:title><news:keywords>GPU, 데이터센터, 수랭, AI인프라</news:keywords></news:news></url><url><loc>https://daily-llm.com/2026/10/02/local-llm-first-install-checklist-en/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:37+00:00</news:publication_date><news:title>First Local LLM in 30 Minutes — The Checklist That Works (Oct 2026)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1689-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/best-local-llms-12gb-oct-2026/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:33+00:00</news:publication_date><news:title>Best Local LLMs for 12GB VRAM — October 2026 Measured Table</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1688-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/vram-gb-price-rank-oct-2026/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:28+00:00</news:publication_date><news:title>Cheapest VRAM per Dollar — Oct 2026 Rankings (Street Prices)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1687-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/ollama-vs-llamacpp-vs-mlx-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:24+00:00</news:publication_date><news:title>Ollama vs llama.cpp vs MLX: Measured Pick for Your Hardware (Oct 2026)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1686-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/used-3090-vs-4090-dollar-per-gb/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:19+00:00</news:publication_date><news:title>Used RTX 3090 vs 4090 for Local LLMs: Price-per-VRAM-GB Recalculated</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1685-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/local-llm-electricity-monthly/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:15+00:00</news:publication_date><news:title>Running a Local LLM 24/7: Monthly Electricity Cost per Card</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1684-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/dual-5060ti-vs-5070ti-data/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:10+00:00</news:publication_date><news:title>Dual RTX 5060 Ti (32GB) vs Single 5070 Ti (16GB): What the Data Says</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1683-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/m5-max-mlx-vs-rtx-measured/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:05+00:00</news:publication_date><news:title>Apple M5 Max 128GB vs RTX Cards — Measured MLX tok/s Table</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1682-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/qwen38-27b-16gb-measured/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:17:01+00:00</news:publication_date><news:title>Qwen3.8-27B on 16GB: VRAM and Speed, No Fluff</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1681-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/local-llm-16gb-measured-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T16:16:56+00:00</news:publication_date><news:title>Every Local LLM That Fits 16GB — Measured tok/s (Oct 2026)</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1680-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/02/e3e2a8b6e7eed6e042119054c3c2fd1e-8/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T15:05:00+00:00</news:publication_date><news:title>indexnow key</news:title></news:news></url><url><loc>https://daily-llm.com/2026/10/01/earnings-board-ai-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T07:01:10+00:00</news:publication_date><news:title>AI 반도체 실적 보드 10월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1664-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/earnings-board-optical-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T07:00:51+00:00</news:publication_date><news:title>광통신 실적 보드 10월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1662-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/earnings-board-power-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T07:00:33+00:00</news:publication_date><news:title>전력기기 실적 보드 10월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1660-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/earnings-board-memory-2610/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T07:00:18+00:00</news:publication_date><news:title>메모리 실적 보드 10월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1658-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/stock-radar-261001/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T05:30:12+00:00</news:publication_date><news:title>메모리·AI 주식 뉴스 10월 1일 — 마켓뷰  미국금리 악재 마이크론 호실적 코스피 반등하</news:title><news:keywords>삼성전자, SK하이닉스, HBM, 반도체주, 엔비디아</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1656-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/sw-2610-distillation-ipo/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T04:06:49+00:00</news:publication_date><news:title>암호화 추론 16,000건과 매출 4분의 1 — 프런티어 모델 해자가 좁아지는 증거 2건 (10월 1일 AI 브리핑)</news:title><news:keywords>LLM, OpenAI, 앤트로픽, 엔터프라이즈AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1655-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/hw-2610-apple-ternus-5000/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T04:06:41+00:00</news:publication_date><news:title>터너스 애플이 5,000명 AI 대체를 접은 날 — 12개월 6개 신제품의 계산 (10월 1일 하드웨어 브리핑)</news:title><news:keywords>신제품, 애플, AI대체, 아이폰</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1654-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/gpu-guide-2610-colab-vs-local-cost/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T01:18:19+00:00</news:publication_date><news:title>구글 코랩 vs 내 GPU: 한 달 비용 비교 (2026년 10월판)</news:title><news:keywords>딥러닝 GPU, 로컬 LLM, 구글 코랩, GPU 비용</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1305-3-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/e3e2a8b6e7eed6e042119054c3c2fd1e/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-10-01T00:00:00+00:00</news:publication_date><news:title>indexnow key</news:title></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1670-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/10/01/sw-2610-agent-617-consistency/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-30T16:08:57+00:00</news:publication_date><news:title>오픈 에이전트 모델 61.7% — 에이전트 AI가 숨기는 24.4%포인트 격차 (10월 1일 AI 브리핑)</news:title><news:keywords>AI모델, LLM, 오픈소스, 뉴스</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/10/feat-1269-3-1.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/09/30/earnings-board-ai-2609/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-30T14:55:05+00:00</news:publication_date><news:title>AI 반도체 실적 보드 9월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/09/feat-1267-2.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/09/30/earnings-board-optical-2609/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-30T14:54:47+00:00</news:publication_date><news:title>광통신 실적 보드 9월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/09/feat-1265-2.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/09/30/earnings-board-power-2609/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-30T14:54:30+00:00</news:publication_date><news:title>전력기기 실적 보드 9월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/09/feat-1263-2.png?w=150</image:loc></image:image></url><url><loc>https://daily-llm.com/2026/09/30/earnings-board-memory-2609/</loc><news:news><news:publication><news:name>데일리 딥러닝</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-30T14:54:16+00:00</news:publication_date><news:title>메모리 실적 보드 9월 — FY실적, 실적 발표일, 2026 컨센서스</news:title><news:keywords>반도체, 실적, 컨센서스, 실적발표일, AI</news:keywords></news:news><image:image><image:loc>https://daily-llm.com/wp-content/uploads/2026/09/feat-1261-2.png?w=150</image:loc></image:image></url></urlset>
